Algorithms in Complex Networks

Dear Colleagues,

Many real systems, including the Internet, bio-molecular systems, and economic systems, can be abstracted to networks represented by nodes and links. For example, in the Internet network, nodes stand for routers and links are fiber optic or wireless connections between routers. To analyze the topological characteristics of such networks—sometimes called graphs in mathematical community—numerous algorithms have been proposed in recent years. Typical examples are the Dijkstra algorithm for distance calculation between pair of nodes, the clique percolation algorithm for community detection, and the k-core algorithm for hierarchical decomposition. Although there are enormous algorithms that have been designed by both academic and industry researchers to date, new algorithms and strategies for studying the topological characteristics and dynamical behaviors of networks are still urgently needed—mainly due to the growing network scale and complexity of dynamical behaviors. This Special Issue plans to give an overview of the most recent advances in the field of complex networks. This Special Issue is aimed at providing selected contributions on advances in detecting the topological characteristics of complex networks, modeling the structures and functional behaviors of complex networks, control and synchronization of complex networks, and applications of network-based approaches and algorithms.

Finally, I would like to thank Dr. Tao Du and his valuable work for assisting us with this Special Issue.

Prof. Dr. Wanquan Liu
Dr. Huafeng Wang
Dr. Xiaojun Tan
Dr. Zhengping Fan
Guest Editors

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